Photonic PCFBench - Design Direction Hole: leaderboard

PCFBench v1 Appendix full results; 26 isolated tasks across six categories; temperature0.1, task-specific64–2048token budgets; native fractions/errors. Paired structure+field and Field-only contexts separate. Closed-loop success uses expert sign/magnitude constraints, not physical resimulation; Human Score mean of six dimensions/two experts on120samples. Source-disputed summary/appendix cells and unbound checkpoint variants withheld.

Metric: Accuracy. Source: arxiv.org. Saturation forecast: Not forecast. 31 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 VL 7B Instruct0.73#650
2Qwen 2.5 VL 72B Instruct0.66#383
3O30.65#132
4GPT-50.62#105
5Claude Opus 4.5 (Thinking)0.61#87 (Claude Opus 4.5)
6Gemini 3 Flash0.59#103
7GPT-4o Mini0.58#598
8GPT-5 Mini0.55#193
9Claude Opus 4.5 (Non-reasoning)0.55#87 (Claude Opus 4.5)
10O4 Mini0.49#185
11Qwen 2 VL 72B Instruct0.49#551
12Claude Sonnet 4.5 (Thinking)0.47#148 (Claude Sonnet 4.5)
13Claude Sonnet 4.5 (Non-reasoning)0.4#148 (Claude Sonnet 4.5)
14Qwen 3.5 27B0.31#192
15Qwen 3.5 9B0.28#391

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=photonic-pcfbench-design-direction-hole · How It Works · Data refreshed daily, snapshot 2026-11-05.